Optimizing and Modeling of Comprehensive Performance in Control Systems

DOI

10.2991/iske.2007.273How to use a DOI?

Keywords

optimization; control system; comprehensive performance; expert knowledge; neural network; genetic algorithm

Abstract

In control systems, it is usually short of quantified comprehensive performance index which results in the global optimization and parameter tuning problems. Aimed at these puzzles, in the paper, the comprehensive performance modeling and optimizing problem are studied based on the combing approach EK&NN and GA. Since the skillful expert could exactly evaluate the control quality, expert knowledge (EK) was applied to quantify the comprehensive performance in PID control system. On the basis, the function of comprehensive performance related to adjustable parameters is modeled with NN. When optimizing the NN function of comprehensive performance with Generic Algorithm (GA), the globally optimal parameters were effectively searched. The experimental results reveal the validity of this modeling and optimizing approach. Therefore, with the combining approach EK & NN and GA, the comprehensive performance in control systems can not only be availably modeled and also be globally optimized.

Copyright

© 2007, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wenjin Hu
AU  - Yingying Su
AU  - Ling Nie
AU  - Yucheng Liu
AU  - Taifu Li
PY  - 2007/10
DA  - 2007/10
TI  - Optimizing and Modeling of Comprehensive Performance in Control Systems
BT  - Proceedings of the 2007 International Conference on Intelligent Systems and Knowledge Engineering (ISKE 2007)
PB  - Atlantis Press
SP  - 1594
EP  - 1598
SN  - 1951-6851
UR  - https://doi.org/10.2991/iske.2007.273
DO  - 10.2991/iske.2007.273
ID  - Hu2007/10
ER  -